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- Title
基于GWR模型的于田绿洲土壤表层盐分空间分异及其影响因子.
- Authors
袁玉芸; 瓦哈甫·哈力克; 关靖云; 卢龙辉; 张琴琴
- Abstract
In this paper, topsoil salinity data gathered from 24 sampling sites in the Yutian Oasis were used, nine different kinds of environmental variables closely related to soil salinity were selected as influencing factors, then, the spatial distribution characteristics of topsoil salinity and spatial heterogeneity of influencing factors were analyzed by combining the spatial autocorrelation with traditional regression analysis and geographically weighted regression model. Results showed that the topsoil salinity in Yutian Oasis was not of random distribution but had strong spatial dependence, and the spatial autocorrelation index for topsoil salinity was 0.479. Groundwater salinity, groundwater depth, elevation and temperature were the main factors influencing topsoil salt accumulation in arid land oases and they were spatially heterogeneous. The nine selected environmental variables except soil pH had significant influences on topsoil salinity with spatial disparity. GWR model was superior to the OLS model on interpretation and estimation of spatial non-stationary data, also had a remarkable advantage in visualization of modeling parameters.
- Publication
Yingyong Shengtai Xuebao, 2016, Vol 27, Issue 10, p3273
- ISSN
1001-9332
- Publication type
Article
- DOI
10.13287/j.1001-9332.201610.022